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Staff Software Engineer, AI/ML GenAI, Google Cloud AI
AI Engineer
Lead the design and production of generative AI solutions on Google Cloud, driving end‑to‑end ML pipelines, model training, and deployment at scale.
About the role
Key Responsibilities
- Architect and implement large‑scale generative AI models using TensorFlow and PyTorch on Google Cloud Platform.
- Design and maintain end‑to‑end ML pipelines, from data ingestion to model serving, ensuring reliability and performance.
- Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions.
- Mentor and guide junior engineers, fostering best practices in code quality, testing, and DevOps.
- Drive continuous improvement of model accuracy, latency, and cost efficiency through experimentation and optimization.
Requirements
- 10+ years of software engineering experience with a strong focus on AI/ML.
- Deep expertise in Python, TensorFlow, PyTorch, and Google Cloud AI services.
- Proven track record of deploying production‑grade generative models at scale.
- Strong understanding of cloud architecture, containerization, and CI/CD pipelines.
- Excellent communication skills and a collaborative mindset.
Skills
pythontensorflowpytorchgenerative aimachine learning